early diagnosis of ssc in the general rheumatology clinic - pilot

Conditions: Systemic Sclerosis; Raynaud Phenomenon

Summary: the goal of this observational pilot data acquisition study is to establish if target users can obtain diagnostic quality images in the clinic, from participants with systemic sclerosis (ssc), and ssc spectrum conditions. the main questions it aims to answer are: * can a range of healthcare professionals, including non-specialists, use the capillaroscopy image acquisition system to take high quality images that can be used to create a clinical report? * can the investigators collect user and patient feedback on the usability of the capillaroscopy system, to help develop the software and to develop the clinical report * which microscope light source, from four different light wavelengths is better to see the blood vessels in skin with more melanin content. participants will be asked to attend a single clinic visit where they will undergo a brief, non-invasive nailfold capillaroscopy examination, using the software-guided capillaroscopy system. participants and rheumatology healthcare professionals will be invited to take part in one or more focus groups and interviews, to collect feedback and to contribute to the development of the image acquisition software and the clinical report.

systemic sclerosis (ssc) is a painful, disabling disease affecting around 20,000 people in the uk. symptoms include painful ulcers on the fingers and toes, sometimes requiring amputation, and life-threatening internal organ damage. the first symptom of ssc is usually raynaud's phenomenon - white, painful fingers in the cold - though around 5% of otherwise healthy individuals also experience raynaud's. the national institute for health and care excellence (nice) recommends that gps should refer patients with raynaud's to a general rheumatology clinic for assessment. when a patient is referred for assessment, using nailfold capillaroscopy to find vessel abnormalities caused by ssc is recognised internationally as key to early diagnosis. despite this, it is not used in most rheumatology clinics, because it requires expensive equipment and specialised skill. when capillaroscopy is not available, diagnosis is often delayed, which can have serious consequences for patients. the research team will develop an artificial intelligence (ai) system that helps rheumatology clinics diagnose ssc as early as possible. the system will use nailfold capillaroscopy images of the small blood vessels at the base of the fingernails and digital technology to find changes due to disease. in a previous study has shown that, in expert hands, capillaroscopy images good enough to diagnose ssc can be obtained using a commercially available, hand-held microscope. the investigators have also developed ai image analysis software that finds capillary abnormalities very reliably. this study will establish if target users can acquire diagnostic-quality images in clinic and provide feedback to inform technology refinement. images will be acquired using version one of our software from 105 patients across seven centres in england. the investigators will also run focus groups and interviews to gain qualitative input from users and patients to assess usability of the system. the results of this study will contribute to the development of a complete system suitable for use by non-specialists.

Eligibility criteria:
inclusion criteria: image acquisition: * children (aged between 6-17 years) and adults (aged 18 years and above) with raynaud's phenomenon or a ssc- spectrum disorder. qualitative aspect: * rheumatologists, vascular technicians, specialist nurses, or similar rheumatology trained professionals * patients with raynaud's phenomenon and/or a ssc-spectrum disorder. * adults ages 18 years and over. exclusion criteria: * (patients; image acquisition and skin tone study). diabetes * (healthy controls). requirement for vasoactive therapies * (healthy controls). any condition known to affect the vasculature e.g. unregulated hypertension * (all groups). any disorder limiting the ability to provide informed consent or to comply with study requirements.

Keywords: raynaud's systemic sclerosis spectrum disorder artificial intelligence imaging capillaroscopy scleroderma